plot.latents_growth_mixture: Plot a growth mixture model

In latents: Multilevel Latent Profile, Class and Transition Models

Plot a growth mixture model

Description

Plot a growth mixture model

Usage

## S3 method for class 'latents_growth_mixture'
plot(
  x,
  what = c("trajectories", "individuals", "coefficients", "random", "classification",
    "posteriors"),
  time = NULL,
  facet = FALSE,
  persons = 12L,
  max_persons = 120L,
  spread = 0.8,
  level = 0.95,
  main = NULL,
  subtitle = NULL,
  ...
)

Arguments

x	A latents_growth_mixture fit.
what	"trajectories" (each class's mean trajectory with its confidence band, the spread of its persons' own trajectories, and the observed class means at each time), "individuals" (a sample of persons across each class's range of classification certainty: observations, their class trajectory dashed, their own predicted curve solid), "coefficients" (estimates with confidence intervals and p-values, by term), "random" (predicted random effects with the class's model-implied 95% ellipse; degenerate covariances are flagged), or "classification" (one bar per person, split by their posterior class probabilities). "posteriors" is a synonym of "classification".
time	The numeric variable to draw along; by default the first numeric variable of random.
facet	For "trajectories", TRUE draws one panel per class.
persons	For "individuals", how many persons to show, or a vector of their identifiers.
max_persons	For "trajectories", the most persons drawn behind the class trajectories (an even sample by class); 0 draws none.
spread	For "trajectories", the share of persons' class-implied trajectories the light band holds (from the random effects); 0 hides it.
level	Confidence level of the bands and intervals.
main, subtitle	Title and subtitle; defaults describe the view.
...	Unused.

Value

A ggplot object. Raises latents_missing_package without ggplot2.

Examples

few_students <- subset(growth_scores, student <= 60)
fit <- mixture_regression(score ~ wave, few_students, n_classes = 2,
                          id = "student", class_level = "group",
                          random = "intercept", seed = 1)
if (requireNamespace("ggplot2", quietly = TRUE)) plot(fit)

latents documentation built on Oct. 16, 2026, 5:09 p.m.